Nanyang Technological University
4 days ago
Pre-Doctoral Research Assistant / Research Associate in Business and Management Research Nanyang Technological University in Singapore
Degree Level
not provided
Field of study
Business
Funding
Available
Country
Singapore
University
Nanyang Technological University
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About this position
Pre-Doctoral Research Assistant / Research Associate at Nanyang Technological University (NTU Singapore), housed in the Nanyang Business School and based at NTU Main Campus, Singapore.
This is a full-time research appointment for candidates considering future doctoral study and looking to gain hands-on experience in academic research. The role supports faculty-led projects across business and management disciplines, with work spanning literature reviews, dataset collection and cleaning, data validation, quantitative and/or qualitative analysis, research documentation, and preparation of reports, working papers, manuscripts, conference presentations, and grant proposals.
The role is well aligned with interests in business, management, statistics, and research methods. It may also suit applicants with strong analytical skills and experience using R, Python, Stata, or SQL. Additional responsibilities may include survey development, experimental studies, field research, ethics review applications, and collaboration with faculty, doctoral students, and research teams.
Eligibility is broad: applicants need a Bachelor's or Master's degree in any discipline. The posting emphasizes strong interest in academic research, excellent communication skills, strong organisation, attention to detail, and the ability to work independently and collaboratively in a research-intensive environment.
No funding package, scholarship, or tuition support is stated in the post; this appears to be a salaried staff/research role rather than a studentship. The post does not list a closing date. Applications should be submitted through the Workday posting.
Funding details
Available
What's required
Bachelor's or Master's degree in any discipline. Strong interest in academic research and research-oriented careers. Strong quantitative and analytical skills, with proficiency in R, Python, Stata, SQL, or equivalent preferred. Excellent written and verbal communication skills. Strong organisational skills and attention to detail. Ability to work independently and collaboratively in a research-intensive environment. Self-motivated, intellectually curious, and committed to continuous learning.
How to apply
Apply through the Workday job posting using the provided application link. Review the job details and submit your application online; only shortlisted candidates will be notified.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.